Two-layer path planning framework for WMRs in dynamic environments: Optimized ant colony algorithm and dynamic window approach
Transactions of the Institute of Measurement and Control
Published online on January 08, 2025
Abstract
Transactions of the Institute of Measurement and Control, Volume 48, Issue 7, Page 1270-1282, April 2026.
This paper proposes a two-layer path planning method for wheeled mobile robots (WMRs), where an improved ant colony optimization (ACO) and optimized dynamic window approach (DWA) algorithms are used, at the global and local layer, respectively. This ...
This paper proposes a two-layer path planning method for wheeled mobile robots (WMRs), where an improved ant colony optimization (ACO) and optimized dynamic window approach (DWA) algorithms are used, at the global and local layer, respectively. This ...